Triple
T10208537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell Aliant (historical) |
E242266
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
BA
BA is the former stock ticker symbol for Bell Aliant, a Canadian telecommunications company that provided internet, phone, and TV services primarily in Atlantic Canada before being acquired by Bell Canada.
|
E849500
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: BA | Statement: [Bell Aliant (historical), tickerSymbol, BA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BA Context triple: [Bell Aliant (historical), tickerSymbol, BA]
-
A.
BA
BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
-
B.
BA
BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
-
C.
BA
BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
-
D.
BA
BA is the commonly used abbreviation for the British Academy, the United Kingdom’s national academy for the humanities and social sciences.
-
E.
BA
BA is the commonly used abbreviation for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BA Triple: [Bell Aliant (historical), tickerSymbol, BA]
Generated description
BA is the former stock ticker symbol for Bell Aliant, a Canadian telecommunications company that provided internet, phone, and TV services primarily in Atlantic Canada before being acquired by Bell Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BA Target entity description: BA is the former stock ticker symbol for Bell Aliant, a Canadian telecommunications company that provided internet, phone, and TV services primarily in Atlantic Canada before being acquired by Bell Canada.
-
A.
BA
BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
-
B.
BA
BA is the IATA code for British Airways, the United Kingdom’s flag carrier and one of the world’s largest international airlines.
-
C.
BA
BA is the station code for Bathurst station on the Toronto Transit Commission subway system.
-
D.
BA
BA is the commonly used abbreviation for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
-
E.
BA
BA is a common abbreviation for Broken Arrow, a suburban city in northeastern Oklahoma.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395fa86cc8190b4f115b5a0f99772 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652cca9c081909f705365c70db009 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d654ddaed88190bcd7f1a2ee9dd462 |
completed | April 8, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d655338cc08190ba00163f0afa4c3b |
completed | April 8, 2026, 1:16 p.m. |
Created at: April 6, 2026, 10:59 a.m.